Song Zongshuang, Zhao Haiyan, Wei Zhihao, Zhao Wenliu, Tan Yizhen, Yang Peng, Chen Shuohua, Wu YunTao, Li Yun, Wu Shouling
School of Public Health, North China University of Science and Technology, Tangshan, China.
Department of Cardiology, Kailuan General Hospital, Tangshan, China.
Front Cardiovasc Med. 2023 Sep 13;10:1222995. doi: 10.3389/fcvm.2023.1222995. eCollection 2023.
The association between mean arterial pressure (MAP) trajectory in young adults and risk of cardiovascular diseases (CVD) and all-cause mortality is not well-characterized. The objective of this study was to investigate the effects of different MAP trajectory on the risk of CVD and all-cause mortality among the young.
In the Kailuan cohort study, 19,171 participants aged 18-40 years were enrolled without CVD (including myocardial infarction, stroke, atrial fibrillation and heart failure). The potential hybrid model was used to fit different trajectory patterns according to longitudinal changes of MAP. Hazard ratios and 95% confidence intervals for risk of CVD and all-cause mortality were analyzed using Cox proportional hazard regression models for participants with different trajectories.
Five distinct MAP trajectories were identified during 2006-2013. Each of the trajectories was labelled as low-stable, middle-stable, decreasing, increasing, or high-stable. With the low-stable trajectory group as the reference, the multivariate adjusted HR (95%CI) of CVD for the middle-stable, decreasing, increasing and high-stable groups were 2.49 (1.41-4.40), 5.18 (2.66-10.06), 5.91 (2.96-11.80) and 12.68 (6.30-25.51), respectively. The HR (95%CI) for all-cause deaths were 1.27 (0.84-1.94), 2.01 (1.14-3.55), 1.96 (1.04-4.3.72), and 3.28 (1.69-6.37), respectively.
In young adults, MAP trajectories were associated with the risk of CVD or all-cause mortality and increasing MAP trajectories within the currently designated "normal" range may still increase the risk for CVD.
年轻成年人的平均动脉压(MAP)轨迹与心血管疾病(CVD)风险及全因死亡率之间的关联尚未得到充分描述。本研究的目的是调查不同MAP轨迹对年轻人CVD风险和全因死亡率的影响。
在开滦队列研究中,纳入了19171名年龄在18至40岁之间且无CVD(包括心肌梗死、中风、心房颤动和心力衰竭)的参与者。根据MAP的纵向变化,使用潜在混合模型拟合不同的轨迹模式。使用Cox比例风险回归模型分析不同轨迹参与者的CVD风险和全因死亡率的风险比及95%置信区间。
在2006年至2013年期间确定了五种不同的MAP轨迹。每条轨迹分别标记为低稳定、中稳定、下降、上升或高稳定。以低稳定轨迹组为参照,中稳定、下降、上升和高稳定组CVD的多变量调整风险比(95%置信区间)分别为2.49(1.41 - 4.40)、5.18(2.66 - 10.06)、5.91(2.96 - 11.80)和12.68(6.30 - 25.51)。全因死亡的风险比(95%置信区间)分别为1.27(0.84 - 1.94)、2.01(1.14 - 3.55)、1.96(1.04 - 4.372)和3.28(1.69 - 6.37)。
在年轻成年人中,MAP轨迹与CVD风险或全因死亡率相关,并且在当前指定的“正常”范围内MAP轨迹上升仍可能增加CVD风险。